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  • Dissolved organic matter characterization for seasonal synoptic sampling of 100 urban streams in Boston, Massachusetts (USA) from 2021-2022
  • Chen, Shuo; Postdoc; University of Georgia
    Ortiz Munoz, Liz D; PhD Student (Candidate); Florida International University
    Rizzie, Christopher B; Lab Manager; Florida International University
    Kominoski, John S; Professor; Florida International University
    Quick, Annika M; Assistant Professor; Virginia Wesleyan University
    Roy, Allison H; Unit Leader; U.S. Geological Survey, Massachusetts Cooperative Fish and Wildlife Research Unit
    Hale, Rebecca L; Senior Scientist; Smithsonian Environmental Research Center
    Rudolph, Jacob C; Physical Science Research Technician; Smithsonian Environmental Research Center
  • 2024-11-14
  • Chen, S., L.D. Ortiz Munoz, C.B. Rizzie, J.S. Kominoski, A.M. Quick, A.H. Roy, R.L. Hale, and J.C. Rudolph. 2024. Dissolved organic matter characterization for seasonal synoptic sampling of 100 urban streams in Boston, Massachusetts (USA) from 2021-2022 ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).

  • This dataset contains dissolved organic matter (DOM) characteristics from surface water samples collected at 100 urban stream locations in the greater Boston, Massachusetts metropolitan area. Samples were collected four times (September 2021, November 2021, April 2022, and July 2022) to capture spatial and seasonal variation in DOM characteristics. Fluorescent optical properties were measured on filtered water samples to understand the chemical composition of DOM. Excitation-Emission Matrices (EEMs) were measured using a Horiba Aqualog spectrometer. DOM characteristics were quantified using both standard fluorescence and absorbance metrics as well as through parallel factor (PARAFAC) analysis.

  • N: 42.40713      S: 42.3289      E: -71.13377      W: -71.289
  • edi.1796.1  (Uploaded 2024-11-14)  
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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